A5074891251- Tactile and Sensory Interactions
- Advanced Manufacturing and Logistics Optimization
- Data Quality and Management
- Bayesian Modeling and Causal Inference
- AI-based Problem Solving and Planning
- Manufacturing Process and Optimization
- Virtual Reality Applications and Impacts
- Building Energy and Comfort Optimization
- Optimization and Packing Problems
- Educational Tools and Methods
- Recommender Systems and Techniques
- Statistical Methods and Inference
- Advanced Text Analysis Techniques
- Modeling, Simulation, and Optimization
- Gaze Tracking and Assistive Technology
- Augmented Reality Applications
- Data Mining Algorithms and Applications
- Advanced Graph Neural Networks
- Fuzzy Logic and Control Systems
- Complex Systems and Time Series Analysis
- Forecasting Techniques and Applications
- Impact of Technology on Adolescents
- Technology Use by Older Adults
- Mobile Learning in Education
- Innovative Teaching and Learning Methods
Hanyang University
2012-2020
Samsung (South Korea)
2020
Anyang University
2015
Sungkyunkwan University
2010-2012
DBpia is the largest digital-bibliography service provider in Korea. It provides several convenience functions for researchers. users (i.e., researchers) can search papers via routes such as publications, publishers, authors, and keywords. Although researchers exploit functions, they may still have a number of results candidate to read. Therefore, it crucial provide function recommending most relevant an individual user. In this paper, we (1) discuss methods with four datasets context paper...
With the 4G mobile technology, LG U+ established a new business model, inter-network mirroring game service, that allows PC and users to play against each other. However, due an unsolicited input command design for touch-sensitive UIs, it is hard adjust competitive levels between them. The traditional Keystroke-Level Model (KLM) was not applicable predict task performance in user interface. This case study thus proposed Fingerstroke Level (FLM), analyzed - 'Freestyle II"' with FLM. empirical...
Numerous dimensionality-reducing representations of time series have been proposed in data mining and proved to be useful, especially handling a high volume data. Among them, widely used symbolic such as aggregate approximation piecewise focus on information local averages series. To compensate for methods, several attempts were made include trend information. However, the included is quite simple, leading great loss. Such hardly extendable, so adjusting level simplicity higher complexity...
High level of accuracy in forecasting heat demand each district is required for operating and managing the heating efficiently. Heat has a close connection with demands previous days temperature, general methods may be used forecast. However, there are some exceptional situations to apply such as low weekends or vacation period. We introduce new method forecast overcome these situations, using linearities between other factors. Our uses temperature past 7 days' factors which determine future...
Location systems are used to track items along manufacturing process. However, the considerable cost from installation and maintenance of location is an obstacle install information system. This research presented a real time system overcome high issue. The combination current complementary mathematical model. supporting model based on Bayesian network consists modified depth first-search algorithm, probabilistic inference priority assigning algorithm. Verification executed through simulated
Abstract Mobile learning has been a topic of research and development for 20 years. Over that time it encompassed wide range concepts, theories, designs, experiments evaluations. With increasing interest in the subject from researchers practitioners, comprehensive, yet accessible, overview mobile encompasses its many facets features can provide useful snapshot field. Although there have reviews literature, these tended to focus mostly on nature work perspective. Further, they focused...
In the simulation output analysis, bootstrap method is an applicable resampling technique to insufficient data which are not significant statistically. The moving block bootstrap, stationary and threshold typical methods be used for autocorrelated time series data. They nonparametric data, correctly describe original however, we may use them because of non-stationarity in set caused by trend such as increasing or decreasing. these cases, can get rid differencing guarantees stationarity. We...
Location systems are used to track items along manufacturing process. However, the considerable cost from installation and maintenance of location is an obstacle install information system. This research presented a real time system overcome high issue. The combination current complementary mathematical model. supporting model based on Bayesian network consists modified depth first-search algorithm, probabilistic inference priority assigning algorithm. Verification executed through simulated